Staff Software Engineer, AI/ML

1 Month ago • 8-13 Years • Artificial Intelligence

Job Summary

Job Description

This Staff Software Engineer, AI/ML role at Google involves driving an incubation program for Cloud innovation through joint experimentation. Responsibilities include designing and executing experiments across various machine learning domains, developing solutions for technical tests, partnering with GCP teams and customers to implement generative AI and machine learning applications, and contributing to a positive team culture. The role requires strong experience in ML design, model development, and evaluation, along with expertise in generative AI. The engineer will work with diverse teams and stakeholders to shape and execute team goals, developing and reviewing code, and leveraging cutting-edge technology to solve real-world problems for Google Cloud's customers.
Must have:
  • 8+ years software development experience
  • 5+ years ML design & infrastructure experience
  • 5+ years experience designing, training, and evaluating ML models
  • Generative AI experience
  • Data structures & algorithms proficiency (C, C++, Python, Java, or Go)
Good to have:
  • Master's or PhD in relevant field
  • 3+ years technical leadership experience
  • Ability to guide team and set technical direction
  • Strong problem-solving and experimental design skills
  • Customer empathy and solution generation skills

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development and with data structures/algorithms in either (C, C++, Python, Java or Go).
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience designing, training, and evaluating machine learning models.
  • Experience using generative AI, to solve real-world issues.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Ability to guide the work of others.
  • Ability to take an issue and reduce it to a core experiment to prove or disprove a hypothesis.
  • Ability to empathize with customers needs to generate solutions.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

We are a diverse team of experienced engineers and technologists working directly with Cloud leadership. Our mission is to foster market-disrupting collaborative innovation between Google and the world's ambitious organizations. We focus on complex technical tests with Cloud’s most important customers, delivering collaborative and practical solutions.

In this role, you will be running an incubation program designed to drive Cloud innovation through joint experimentation.You will partner with other engineering teams and key customers to build technology that pushes the boundaries of what's possible with real-world applications and open to impact in any area of technology, provided it aligns with the needs of Cloud customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Drive the creation and execution of experiments across diverse machine learning domains.
  • Assess technical tests and develop practical, testable solutions.
  • Partner with Google Cloud Platform (GCP) product and engineering teams, Google Research, and GCP customers to identify and implement real-world applications of cutting-edge generative AI and machine learning technologies.
  • Contribute to building a positive and inclusive team culture that emphasizes teamwork, innovation, and collaboration including playing a key role in shaping and executing the team's tactical goal.
  • Write product or system development code and participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

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